I am a Postdoctoral Scholar at the University of California, San Francisco. I am advised by Prof. Edward Chang. My postdoc research leverages machine learning to model and optimize brain stimulation-based treatment of epilepsy.

I have a PhD in Electrical and Computer Engineering from University of Illinois, Urbana-Champaign where I was advised by Prof. Ravishankar K. Iyer. During my PhD, I developed ML tools for diagnosis and understanding of Alzheimer’s disease and epilepsy. I graduated with a B.Tech. and M.Tech. in Electrical Engineering from Indian Institute of Technology, Bombay. I worked with Prof. Vivek Borkar on topics in semi-supervised learning and resource allocation.

Research

I am broadly interested in topics at the intersection of machine learning, neurology, and neuroscience. My goal is to develop and apply machine learning techniques to (i) create tools for assisting clinicians in disease diagnosis and intervention, and (ii) delineate relationships among brain structure and activity, brain disorders, and cognition. For more details, see Projects.

During my PhD, I worked on Alzheimer’s disease and epilepsy in collaboration with Dr. Gregory Worrell (Mayo Clinic), Prof. Michal Kucewicz (Mayo Clinic), Prof. Prashanthi Vemuri (Mayo Clinic), and Dr. David Jones (Mayo Clinic). I have also worked with Dr. Jasmohan Bajaj (VCU) on analysing the relationship between gut microbiome, liver cirrhosis, and cognitive impairment.

Recent News

• 10/2023: Started my postdoctoral position in the Chang Lab at UCSF!
• 07/2023: I defended my PhD thesis!
• 05/2023: Awarded the Schmidt Science Fellowship! Media: CSL, Forbes, The India Abroad
• 04/2023: Our work on individualized seizure cluster prediction was invited for a submission to the IEEE Transactions on NanoBioscience journal’s special issue. Link
• 10/2022: Our work on predicting seizure clustering got accepted in IEEE BIBM 2022 for an oral presentation.
• 08/2022: Awarded the Young Investigator Award at AES 2022 Annual Meeting!